Akshar Ramkumar

dblp:393/2924 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0002-9804-5954ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Quantum computing and quantum information · 40% Computational complexity · 40% Coding theory · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity
average-case complexity
1.012026
Average-Case Complexity of Quantum Stabilizer Decoding · STOC 2026
Computational complexity › average-case complexity
average-case hardness
1.012026
Average-Case Complexity of Quantum Stabilizer Decoding · STOC 2026
Coding theory › error-correcting codes › decoding › decoding problems
decoding complexity
1.012026
Average-Case Complexity of Quantum Stabilizer Decoding · STOC 2026
Quantum computing and quantum information › quantum error correction
quantum code
1.012026
Average-Case Complexity of Quantum Stabilizer Decoding · STOC 2026
Quantum computing and quantum information › quantum error correction
stabilizer codes
1.012026
Average-Case Complexity of Quantum Stabilizer Decoding · STOC 2026

Methods — techniques the papers use, named apart from their topics

reduction · 1.0complexity analysis · 1.0
YearPublicationVenuePosition
2026 Post-quantum Cryptography from Quantum Stabilizer Decoding
Jonathan Z. Lu, Alexander Poremba, Yihui Quek, Akshar Ramkumar
CRYPTO (4)4
2026 Average-Case Complexity of Quantum Stabilizer Decoding
abstract
Random classical linear codes are widely believed to be hard to decode. While slightly sub-exponential time algorithms exist when the coding rate vanishes sufficiently rapidly, all known algorithms at constant rate require exponential time. By contrast, the complexity of decoding a random quantum stabilizer code has remained an open question for quite some time. This work closes the gap in our understanding of the algorithmic hardness of decoding random quantum versus random classical codes. We prove that decoding a random stabilizer code with even a single logical qubit is at least as hard as decoding a random classical code at constant rate--the maximally hard regime. This result suggests that the easiest random quantum decoding problem is at least as hard as the hardest random classical decoding problem, and shows that any sub-exponential algorithm decoding a typical stabilizer code, at any rate, would immediately imply a breakthrough in cryptography.
Andrey Boris Khesin, Jonathan Z. Lu, Alexander Poremba, Akshar Ramkumar, Vinod Vaikuntanathan
STOC4